A cause of oversupply and failure in the shipping market: measuring herding behavior effects

ABSTRACT

The shipping market is volatile. In general, the shipping market cycle shows four stages, through—recovery—peak—collapse, while a upward trend lasts for 7~8 years and a downward trend for another 7~8 years. So the market’s bubble is not sustainable but always ends in a recessionary trend. The economic cycle is common knowledge and an axiom of the shipping industry, but many ship-owners take no account of it. Previous study stated that ship-owners’ fears, triggered by a violently changeable market, make them mimic the crowd mind or herd mentality, following market sentiment. This study aims to measure the effects of herding behavior (HB), triggered by market sentiment, on the shipping market. We attempt to address two research questions: (1) How does HB arise, and what course does it follow? (2) How many vessels (or how many tons) were purchased under the influence of HB? We estimate that 50.5% (227.8 vessels) of the total vessels or 30.4% (3,670.2 tons) of the total tonnage were purchased under the influence of HB. Looking at international finance, we found that ship investment HB is a very strong factor of the recent shipping market, at least in Korea.     

Development of early warning index in Korean shipping industry by using signal approach

ABSTRACT

The study aims to investigate and prevent shipping companies’ insolvency that can be derived from depressed market sentiment in the shipping industry. For this purpose, the paper focuses on developing an early warning index. The main factors that contribute to the change in the shipping industry are derived. Sixty independent variables were accounted in the development of early warning index, some of which are shipping, shipbuilding, and finance. Suggestions drew from the result of early warning index are described as below. Firstly, the results of a signal approach towards independent variables showed lowest the signal error value in newbuilding price of containership, bunker price, Commodity Research Bureau (CRB) commodity index, and order book of bulkship. These indicators have proven to be a high level of variation factor during shipping markets’ crisis. Secondly, the early warning index confirmed that it preceded by 6 months compared to probability of default. Thirdly, in order to validate the accuracy of the early warning index, the adequacy of the model was tested using a mean square error and time lag correlations. As a result of the verification, value proved to be at a high level of compliance at 0.097.     

Demand analysis in Angola seaports

ABSTRACT

This paper presents a demand analysis of Angola seaports from 1996 to 2013 using the Berry, Levinsohn, and Pakes (BLP) demand model. The BLP is a random coefficient Logit demand model that takes into account the endogeneity of the price in the demand equation. The model reveals that seaports on Angola is explained by the average price, the price of maritime transport services, the price of substitute imports by airports, and by the income in the port region. The price is endogenous in demand equation and the endogeneity is taken into account in demand estimation. The price of air transportation is negative, and therefore it is a complementary good. The price of container handling is positive, and therefore it is a substitution good. Policy implication is also derived.     

Achieving an ASEAN single shipping market: shipping and logistics firms’ perspective

ABSTRACT

To establish an Association of Southeast Asian Nations (ASEAN) Single Shipping Market (ASSM) is an important part of ASEAN governments’ overall plan to achieve an ASEAN Economic Community by 2015. It is expected that a single shipping market will improve the region’s logistics performance and international competitiveness. To achieve this vision, however, the ASEAN countries need to remove any remaining barriers to logistics performance. In this light, the objective of this paper is to identify these barriers and assess their effects on the logistics performance of shipping and logistics firms based in ASEAN countries. Using a questionnaire-based survey, the study revealed several barriers affecting their logistics performance with varying significance among these countries. Unless these barriers from the perspective of the industry are removed, the ability of the shipping and logistics industry to benefit from a liberalized market would be limited. These perceived barriers are examined in detail and strategies to address them are proposed. The ASEAN experience is applicable to similar countries in the process of integrating their international shipping sector as well as contributes to the understanding of the different barriers and how these barriers can affect the logistics performance of shipping and logistics companies.     

Modelling the investment decision of the entrepreneur in the tanker sector: choosing between a second-hand vessel and a newly built one

It is often the case that the investor in the shipping sector faces the dilemma of investing in a second-hand vessel or building a new one. This happens because an active second-hand market for almost all kinds of vessels exists. We argue that one of the prime considerations for the investment decision should not be the price of the vessel per se, second-hand (SH) or newly built (NP) but

• ?(a)?the relative price ratio (SH/NP) second-hand price over the new building price and

• ?(b)?the movement of this ratio.

We investigate the determinants of this ratio across different vessel sizes in the tanker sector and show that it can be used as an effective tool in investment decision as well as in asset appraisal.

We employ monthly data between 1995 and 2006 for four different ship sizes–VLCC, Suezmax, Aframax and Handysize–and implement an error correction model.

The investment decision depends on a number of risk and return variables as well as the perceived speed of adjustment of the price ratio to its equilibrium level.

Overall we claim that the cyclicality of the shipping sector together with expectations formed by the agents operating in it (the entrepreneur, the ship-owner and the broker), determine the movement of the ratio and hence the decision of the entrepreneur.     

Are there bubbles in the shipping freight market?

ABSTRACT

This paper addresses the reconsideration of price bubbles specific to the shipping freight market based on the method of the Generalized Supremum Augmented Dickey–Fuller (GSADF). This approach offers the opportunity to recognize multiple bubbles and set their corresponding original and final dates. Empirical results reveal that four bubbles existed in the shipping freight market between October 1988 and February 2018 in which freight deviated from fundamental values. Strong demand (especially in China), the supply capacity, crude oil prices and U.S. dollar fluctuations are potential explanations for the first three bubbles. The global financial crisis that burst in 2008 is the major factor results in the last bubble. Hence, we must distinguish the potential reasons of bubbles in different periods and take measures such as promoting economic multipolarization, strengthening the bargaining power of China, building an effective information transfer system, employing financial derivatives and accelerating the consolidation of the shipping industry to alleviate the negative influences on global seaborne trade.     

The empirical evidence of the leverage effect on volatility in international bulk shipping market

This paper mainly applies Nelson's EGARCH (Exponentially Generalized Autoregressive Conditional Heteroskedasticity) model to investigate the leverage effect in the presence of the international bulk shipping market. The daily return of three different types of bulk vessel in the sampling period selected has been examined. We find that all return series show a significantly negative relation in terms of return and volatility and the leverage effect on volatility is more significant in market downward movement than in market upward movement under the same magnitude of innovation, in addition, the larger vessels have much more leverage effect than smaller vessels contemporaneously. Therefore, it seems to be an inherent nature in the international bulk shipping market that the phenomenon of an asymmetric impact between past innovations and current volatility. This result from the investigation may provide investors with an insight into real characteristics of price return volatility, it is useful for investors to pre-arrange their portfolios of assets, risk management e.g. enabling them to achieve a reduction of investment risk and an increase of operation performance in profit gain.     

内贸散货船的现状剖析及江苏海事局的新要求

2008年金融危机之后,航运业外贸转内贸,对于内贸散货船的需求增加,对造船行业提出了新的要求。随着国际油价不断上涨,使得船东对于内贸散货船的建造成本有更严格的控制。简要介绍了内贸散货船的发展,在市场竞争中的特点,以及江苏海事局新颁布的《关于加强水上交通事故预防预控工作的通知》文件对内贸散货船的特殊要求以及对轮机设计工作带来的影响。     

中国修船企业进入国际市场途径及经营战略之探讨

文中讨论中国修船企业进入国际修船市场需经过入围、定位和品牌三个阶段,在第一阶段应重点考虑转变观念、选择代理、市场调研、广告、管理模式及CI战略应用;在第二阶段应根据市场和本企业的综合能力,由易至难,确定渐进程序;在第三阶段应考虑价位、修理周期、安全、质量、服务等五大要点。这就是进入国际修船市场的途径,南通远洋船务工程有限公司是一个实例。     

An econometric analysis for container shipping market

This article presents an econometric analysis for the fluctuation of the container freight rate due to the interactions between the demand for container transportation services and the container fleet capacity. The demand is derived from international trade and is assumed to be exogenous, while the fleet capacity increases with new orders made two years before, proportional to the industrial profit. Assuming the market clears each year, the shipping freight rate will change with the relative magnitude of shifts in the demand and fleet capacity.

This model is estimated using the world container shipping market statistics from 1980 to 2008, applying the three-stage least square method. The estimated parameters of the model have high statistical significance, and the overall explanatory power of the model is above 90%. The short-term in-sample prediction of the model can largely replicate the container shipping market fluctuation in terms of the fleet size dynamics and the freight rate fluctuation in the past 20 years. The prediction of the future market trend reveals that the container freight rate should continue to decrease in the coming three years if the demand for container transportation services grows at less than 8%.     

Enhancing the competitiveness of Korea’s container shipping industry through structural improvements

ABSTRACT

After the collapse of Hanjin Shipping in 2016, Korea faced the task of reconstructing its container shipping industry by enhancing the competitiveness of its shipping companies in a rapidly evolving market environment. Responding to this need for policy design, this study first attempts to understand the industry based on the shipping ecosystem, which comprises the following four areas: shipping finance, collection of cargo, acquisition of ships, and partnership among carriers. Second, it lists the structural problems, along with the remedial policy alternatives, that were identified after conducting in-depth interviews with industry experts, which included mid-level managers. Third, it conducts an importance-performance analysis to classify problems according to their importance and performance, followed by an analytic hierarchy process analysis to define the priorities of policy alternatives. Finally, drawing on the empirical results, the paper concludes with suggestions on an integrated policy package for the container shipping industry.     

ARMA模型在预测船价指数中的应用

船价是造船行业中最重要的指标之一,目前市场预测船价指数方法均没有考虑船价的自身长期趋势,为此在预测船价指数中引入ARMA模型,充分考虑了时间序列自身的发展趋势,以得出更准确的船价预期.     

2006年国际干散货运输市场走势预测

2005年国际干散货运输市场总体表现为前高后低、中间大幅调整、波动剧烈等特征。对于2006年的市场走势,业界已达成调整下降的共识,但调整的幅度、下降的速度观点不一。通过宏观和微观两个方面分析世界和中国经济的发展、钢铁业的走势、需求与供给、市场面临的风险,综合预测2006年国际干散货运输市场的走势。     

The reform of Chinese state-owned ship crewing agencies and implications for China’s seafaring labour export

ABSTRACT

With the economic reform in China, the international shipping industry and some academics anticipated, as early as the 1990s, that Chinese seafarers would flood the world’s seafaring labour market. However, China’s seafarer export has been far lower than these expectations. This article seeks to explain this lack of development through research into the management strategies of two major ship crewing agencies in China, which have been reformed to different degrees, and the experience of the seafarers who work for them. To examine this question, 86 interviews of managers and seafarers were conducted in two Chinese state-owned crewing agencies (SCAs) between 2008 and 2013. The studies demonstrate that despite the economic reform in China, the SCAs were still supported and constrained by institutions at higher levels, instead of becoming independent, market-oriented economic entities, which constrained the development of foreign manning business. This partly explains the limited rate of increase of China’s seafarer export.     

A dynamic model for marginal cost pricing of port infrastructures

ABSTRACT

A dynamic model for marginal cost pricing of port infrastructures links costs to system performance by combining a power-law function with time-dependent queueing analysis. Additionally, the model incorporates the marginal cost of capacity, including the effects of economies of scale. This allows the calculation of the marginal cost price under a dynamic framework. The model accounts for nonlinear behaviour of port demand, which is sensitive to price and service levels. The effects over time of cost and service levels on the port’s operational performance are quantified. The proposed model allows determining the optimal timing for capacity investment. The model is a starting point for the application of marginal cost pricing to ports. However, for practical application of such pricing method it is necessary to apply a system’s approach, as productivity and costs must be assessed at the terminal’s component level. This should allow the derivation of a marginal cost function at the terminal’s component level.     

影响航运市场的要素之分析

在定量分析基础上提出国际航运市场中运价与运量、运力、油价等影响因素之间的作用模型,应用此模型解释近几年航运市场的价格变动并向航运企业提出相应应对措施。     

Modelling cyclic container freight index using system dynamics

ABSTRACT

This paper investigates the cyclical nature of container shipping market represented by a containerized freight index and proposes a predictive cyclical model of the market. In contrast to the traditional spectral analysis (univariate), system dynamics reflect the drivers of the market in both supply and demand side, and therefore, it is a multi-variate system equilibrium approach consisting of various causal spillovers from sub-components of the market. This study is the first to analyze the cycle of container market using system dynamics. By utilizing system dynamics cyclicality approach, one-step ahead predictions are generated for monthly containerized freight index and compared to conventional benchmarks for post-sample validation. Our study can also help policymakers and shipping liners for better management and invest timing of container ship.     

2006年世界船舶市场评述及展望

总结了近一年来世界经济的发展,在此大背景下对2006年的船舶行业进行了总结和回顾,并对未来市场进行预测.世界船舶行业在2006年出现一个显著特征,即在航运市场回落的情况下船舶建造市场出现了前所未有的兴旺景象,船舶交易出现价高量大的场面.究其原因,船厂任务已饱满、受新规范影响,成本进一步提高以及对后市航运市场看好等原因起到主要作用.鉴于目前订单情况及航运市场现状,预测未来船价还将保持高位运行,航运市场运力将得到进一步快速扩增,甚至会出现供大于求的局面,不过崩盘的可能性不会太大.     

Evaluation of risk attitude in the shipping freight market under uncertainty

ABSTRACT

The main purpose of this study is to examine how market participants take risks, in other words, what their risk attitude/preference is, and how their risk attitude could be related to the shipping freight and other markets. To address them, we calibrated the risk attitude of participants in shipping freight markets from 2007 to 2013, and provided an example of the application of risk attitude. For market participants, risk attitude/preference has an important role in understanding shipping freight markets and managing risks under uncertainty. However, risk attitude is not directly observable. To achieve this, we applied a framework that consists of structural model and calibration with market data. We interpreted risk attitude and confirmed that a structural break occurred around 2008 for the calibrated risk attitude parameter. The average risk attitude of market participants tended to be more risk-averse after 2010. We conducted an additional analysis to provide an example of the application of calibrated risk attitude, using structural equation modeling to calculate a latent variable that reflected other commodity markets. We compared the risk attitude parameter and the latent variable, and clarified the relationship between the risk attitude parameter and commodity markets.     

Slow steaming of liner trade: its economic and environmental impacts

From 2000s, there have been three forces provoking slow steaming practice in the liner industry: (1) oversupply of shipping capacity, (2) increase of bunker price and (3) environmental pressure. This paper analyses the background and the recent application of slow steaming in liner shipping. The research looks into the questions of how slow steaming can save bunker consumption and bring benefits to the environment. On the other hand, solutions are also examined to the adverse side of slow steaming practice, i.e., how it affects the container transit time. For which, a cost model is developed to demonstrate the impact of slow steaming on the revenue change, with application to the North Europe—Far East Trade as a case study. The final result shows that the optimal speed for the shipowner is correlated with the designed speed, bunker price and the price of CO₂. With the increase of the bunker price and the price of CO_2, the optimal speed will also increase, which means that slow steaming practice has a positive impact on the environmental protection.